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Navigating The Regulatory Landscape For AI And Publicly Available Data In India

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Ishnay Prakash & Dhruv Sanjeev Purkar, School of Law, CHRIST (Deemed to be University), Bengaluru


ABSTRACT


Artificial Intelligence stands at its potential zenith today as it is rapidly evolving and giving way to fast technology. As AI is made to deal and delve into data in order to make it function, the access to publicly available data and its interaction with AI gives rise to a set of legal intricacies. This legal research paper delves into the complex and evolving regulatory framework governing the intersection of Artificial Intelligence (AI) and publicly available data in India. The paper meticulously navigates the changing regulatory landscape within India, placing specific emphasis on the contentious Section 3(c)(ii) of the Digital Personal Data Protection Act, 2023. This clause, which extends exemptions to publicly available data, beckons a close examination due to its far-reaching implications. This paper encapsulates a comprehensive legal exploration into the consequences of Section 3(c)(ii) concerning the processing of individuals' personal information for AI applications. The paper analyzes various legal provisions in the present machinery of AI and Data Protection framework and viewpoints of the Hon’ble Supreme Court. It further goes on to suggest the imperative need for a well-balanced legal and policy framework, which, while facilitating AI innovation, steadfastly safeguards the fundamental rights to privacy within India's evolving data protection laws.

Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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